Vehicle Cabin Microphone Array Using Reflection Sound Classification
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Solution Overview
Problem
Existing sound collection processing devices fail to adequately consider spatial noise, such as reflected sounds, leading to a decrease in signal-to-noise ratio (SNR) and speech recognition rate, particularly when dealing with human speech.
Innovation Solution
A microphone system that includes a sound collection unit, clustering unit, and output unit to classify sounds into speech and noise based on reflection sound values, thereby reducing noise and maintaining SNR.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sound collection processing devices separate acoustic signals based on coordinates and features of objects, then speech recognition can be performed, but signal-to-noise ratio decreases due to inadequate consideration of spatial noise such as reflected sounds
Solution Approach 1:
The patent segments the acoustic space into multiple regions with different reflection characteristics. By dividing the space and analyzing reflection sounds from each region separately, the system can identify and suppress noise while preserving speech signals, thereby resolving the contradiction between speech recognition accuracy and signal-to-noise ratio maintenance.
Solution Approach 2:
The patent introduces reflection sound analysis as an intermediary mechanism between sound collection and speech recognition. This intermediary process characterizes the acoustic space and uses reflection sound values to distinguish speech from noise, enabling the system to maintain high signal-to-noise ratio while achieving accurate speech recognition.
2Ease of operation
If microphones collect sounds in acoustic space without considering reflection sounds, then sound collection is simple, but noise increases and speech recognition rate decreases
Solution Approach 1:
The patent performs preliminary characterization of the acoustic space before speech recognition processing. By pre-analyzing reflection sounds and establishing space characteristics in advance, the system prepares noise suppression parameters that can be applied during speech recognition, maintaining simplicity while improving accuracy.
Solution Approach 2:
The patent implements feedback by using collected sound data to continuously refine the characterization of the acoustic space. The system analyzes reflection sounds, updates the space model, and uses this updated information to improve speech recognition performance, creating a closed-loop system that maintains both simplicity and precision.
Data Source
AI summary
A microphone system for a vehicle cabin as an acoustic space includes a microphone array, and a processor and a memory. The processor causes a microphone disposed in an acoustic space to collect sound, classifies a sound included in a sound data related to the sound collected by the microphone into a type of speech sound of a human present in the acoustic space and a type of noise that is a sound other than the speech sound based on a value related to a reflection sound reflected in the acoustic space, and outputs data related to the classified speech sound to a speech recognition device.